Advanced survival sample size |
Advanced time-to-event sample size calculation |
binomialSPRT |
3.4: One-Sample Exact Binomial Boundary Crossing Probabilities |
checkLengths |
6.0 Utility functions to verify variable properties |
checkRange |
6.0 Utility functions to verify variable properties |
checkScalar |
6.0 Utility functions to verify variable properties |
checkVector |
6.0 Utility functions to verify variable properties |
ciBinomial |
3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
condPower |
Sample size re-estimation based on conditional power |
eEvents |
Expected number of events for a time-to-event study |
Expected number of events for survival studies |
Expected number of events for a time-to-event study |
gsBinomialExact |
3.4: One-Sample Exact Binomial Boundary Crossing Probabilities |
gsBound |
2.7: Boundary derivation - low level |
gsBound1 |
2.7: Boundary derivation - low level |
gsBoundCP |
2.5: Conditional Power at Interim Boundaries |
gsBoundSummary |
2.8: Bound Summary and Z-transformations |
gsBValue |
2.8: Bound Summary and Z-transformations |
gsCP |
2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
gsCPOS |
2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
gsCPz |
2.8: Bound Summary and Z-transformations |
gsDelta |
2.8: Bound Summary and Z-transformations |
gsDensity |
2.6: Group sequential design interim density function |
gsDesign |
2.1: Design Derivation |
gsDesign package overview |
1.0 Group Sequential Design |
gsDesign print, summary and table summary functions |
2.8: Bound Summary and Z-transformations |
gsHR |
2.8: Bound Summary and Z-transformations |
gsPI |
2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
gsPOS |
2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
gsPosterior |
2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
gsPP |
2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
gsProbability |
2.2: Boundary Crossing Probabilities |
gsRR |
2.8: Bound Summary and Z-transformations |
gsSurv |
Advanced time-to-event sample size calculation |
hrn2z |
3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
hrz2n |
3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
isInteger |
6.0 Utility functions to verify variable properties |
nBinomial |
3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
nEvents |
3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
nEventsIA |
Advanced time-to-event sample size calculation |
nNormal |
Normal distribution sample size (2-sample) |
normalGrid |
3.1: Normal Density Grid |
nSurv |
Advanced time-to-event sample size calculation |
nSurvival |
3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
O'Brien-Fleming Bounds |
5.0: Wang-Tsiatis Bounds |
plot.binomialSPRT |
3.4: One-Sample Exact Binomial Boundary Crossing Probabilities |
plot.gsBinomialExact |
3.4: One-Sample Exact Binomial Boundary Crossing Probabilities |
plot.gsDesign |
2.3: Plots for group sequential designs |
plot.gsProbability |
2.3: Plots for group sequential designs |
plot.ssrCP |
Sample size re-estimation based on conditional power |
Plots for group sequential designs |
2.3: Plots for group sequential designs |
Pocock Bounds |
5.0: Wang-Tsiatis Bounds |
Power.ssrCP |
Sample size re-estimation based on conditional power |
print.eEvents |
Expected number of events for a time-to-event study |
print.gsBinomialExact |
3.4: One-Sample Exact Binomial Boundary Crossing Probabilities |
print.gsBoundSummary |
2.8: Bound Summary and Z-transformations |
print.gsDesign |
2.8: Bound Summary and Z-transformations |
print.gsProbability |
2.2: Boundary Crossing Probabilities |
print.gsSurv |
Advanced time-to-event sample size calculation |
print.nSurv |
Advanced time-to-event sample size calculation |
print.nSurvival |
3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
sfBetaDist |
4.7: Two-parameter Spending Function Families |
sfCauchy |
4.7: Two-parameter Spending Function Families |
sfExponential |
4.3: Exponential Spending Function |
sfExtremeValue |
4.7: Two-parameter Spending Function Families |
sfExtremeValue2 |
4.7: Two-parameter Spending Function Families |
sfGapped |
4.7a: Truncated, trimmed and gapped spending functions |
sfHSD |
4.1: Hwang-Shih-DeCani Spending Function |
sfLDOF |
4.4: Lan-DeMets Spending function overview |
sfLDPocock |
4.4: Lan-DeMets Spending function overview |
sfLinear |
4.6: Piecewise Linear and Step Function Spending Functions |
sfLogistic |
4.7: Two-parameter Spending Function Families |
sfNormal |
4.7: Two-parameter Spending Function Families |
sfPoints |
4.5: Pointwise Spending Function |
sfPower |
4.2: Kim-DeMets (power) Spending Function |
sfStep |
4.6: Piecewise Linear and Step Function Spending Functions |
sfTDist |
4.8: t-distribution Spending Function |
sfTrimmed |
4.7a: Truncated, trimmed and gapped spending functions |
sfTruncated |
4.7a: Truncated, trimmed and gapped spending functions |
simBinomial |
3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
Spending function overview |
4.0: Spending function overview |
spendingFunction |
4.0: Spending function overview |
ssrCP |
Sample size re-estimation based on conditional power |
summary.gsDesign |
2.8: Bound Summary and Z-transformations |
summary.spendfn |
4.0: Spending function overview |
Survival sample size |
3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
testBinomial |
3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
tEventsIA |
Advanced time-to-event sample size calculation |
varBinomial |
3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
Wang-Tsiatis Bounds |
5.0: Wang-Tsiatis Bounds |
xprint |
2.8: Bound Summary and Z-transformations |
xtable.gsSurv |
Advanced time-to-event sample size calculation |
z2Fisher |
Sample size re-estimation based on conditional power |
z2NC |
Sample size re-estimation based on conditional power |
z2Z |
Sample size re-estimation based on conditional power |
zn2hr |
3.4: Time-to-event sample size calculation (Lachin-Foulkes) |